Director of Engineering, Data

ACLU
New York, New York, United StatesPosted 21 February 2026

Job Description

<h2><strong>ABOUT THE JOB</strong></h2> <p><span class="EOP SCXW106118647 BCX0" data-ccp-props="{">The ACLU seeks a full-time position of <strong>Director of Engineering, Data</strong> in the <strong>Technology Dept</strong> of the ACLU’s National office in <strong>New York, NY.</strong> This is a <strong>hybrid role</strong> that has in-office requirements of two (2) days per week or eight (8) days per month. </span></p> <p>The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the technology team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.</p> <p>This position sits on the Product Engineering team of the Technology Department. The Product Engineering division includes engineers, product managers, product designers, and project operations experts who build and maintain engaging digital products and secure technical systems that accelerate the ACLU’s mission as our nationwide guardian of rights and liberties.</p> <h2><strong>WHAT YOU'LL DO</strong> </h2> <p>Reporting to the <strong>Head of Engineering,</strong> the <strong>Director of Engineering, Data</strong> will be responsible for stewarding the organization’s constituent data platform and leading the engineering team that designs, builds, and operates a centralized and robust multi-sourced pipeline and data warehouse ecosystem. This role will work closely with peer leaders in engineering, analytics, and product as well as stakeholders in other departments to set and drive long-term data architecture, design, implementation, and monitoring that meets current and anticipates future organizational needs.</p> <p>This role requires a strategic and operational technical leader who can operate effectively in ambiguity, translate priorities into platform and product direction, and lead engineers across experience levels while driving complex cross-functional initiatives. The ideal candidate combines strong technical judgment and decision-making under uncertainty with a passion for solving real nonprofit technology challenges, and a proven ability to build, mentor, and guide high-performing engineering teams through clear vision, coaching, and hands-on technical leadership.</p> <h2><strong>YOUR DAY TO DAY</strong></h2> <ul> <li>Own the vision and technical roadmap of the organization’s constituent data products, including the data warehouse, pipelines, system to system integrations, orchestrations, and transformations that power the organization’s fundraising, advocacy, and online outreach activities. Ensure that owned data products support reliability, scalability, performance and security requirement</li> <li>Lead and develop a team of data engineers, ensuring high-quality, timely delivery, and creating stability and focus during periods of shifting priorities and ambiguity</li> <li>Co-own the organization’s shared data and analytics infrastructure, including strategy and architectural decision-making, in partnership with Analytics Engineering leadership</li> <li>Own data product investment strategy and technical prioritization, balancing product needs, privacy and security requirements, system quality, and long-term platform sustainability</li ... (truncated, view full listing at source)
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